What is the primary use of the OpenEvidence Hello World skill?

It is designed to help developers quickly verify their API setup and understand the basic request/response patterns for OpenEvidence clinical queries.

Does this skill support multiple programming languages?

Yes, it provides boilerplate examples for both TypeScript (Node.js) and Python.

What data does an OpenEvidence query return?

It returns an evidence-based answer, a list of peer-reviewed citations, a confidence score, and a clinical disclaimer.

Do I need an API key to use this skill?

Yes, you must have a valid OpenEvidence API key and Org ID configured in your environment to run the generated code successfully.

OpenEvidence Hello World

Name: OpenEvidence Hello World
Author: jeremylongshore

byjeremylongshore

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1,538

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API Development

Generates a minimal working implementation for OpenEvidence clinical queries to accelerate healthcare AI integration.

This skill provides a foundational starting point for developers integrating with the OpenEvidence API. It automates the creation of boilerplate code for both TypeScript and Python, demonstrating how to initialize the OpenEvidence client, execute evidence-based clinical queries, and handle specialized response structures including peer-reviewed citations and confidence scores. It is ideal for developers setting up new healthcare applications, testing API credentials, or learning the specific patterns required for medical-grade AI responses within a Claude Code workflow.

Key Features

01Automated setup of clinical query structures with medical context like specialty and urgency

02Standardized response parsing for peer-reviewed citations and confidence scoring

03Multi-language support for OpenEvidence client initialization in TypeScript and Python

04Pre-configured error handling patterns for medical SDK exceptions

051,538 GitHub stars

06Ready-to-run boilerplate for rapid API credential and connectivity verification

Use Cases

01Learning the standard schema for clinical queries and citation objects

02Initial setup and credential verification for the OpenEvidence SDK

03Creating a sandbox environment for testing medical-grade AI responses

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jeremylongshore/claude-code-plugins-plus-skills openevidence-hello-world

For use in Claude.ai and ChatGPT

Download Skill

Key Features

01Automated setup of clinical query structures with medical context like specialty and urgency

02Standardized response parsing for peer-reviewed citations and confidence scoring

03Multi-language support for OpenEvidence client initialization in TypeScript and Python

04Pre-configured error handling patterns for medical SDK exceptions

051,538 GitHub stars

06Ready-to-run boilerplate for rapid API credential and connectivity verification

Use Cases

01Learning the standard schema for clinical queries and citation objects

02Initial setup and credential verification for the OpenEvidence SDK

03Creating a sandbox environment for testing medical-grade AI responses

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jeremylongshore/claude-code-plugins-plus-skills openevidence-hello-world

For use in Claude.ai and ChatGPT

Download Skill